Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence (Hardcover)

Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.

General

Imprint:	IGI Global
Country of origin:	United States
Series:	e-Book Collection - Copyright 2022
Release date:	May 2022
Editors:	Romil Rawat • Vinod Mahor • Shrikant Telang
Authors:	Kiran Pachlasiya
Dimensions:	279 x 216mm (L x W)
Format:	Hardcover
Pages:	325
ISBN-13:	978-1-66843-942-5
Categories:	Books > Science & Mathematics > Science: general issues > Forensic science Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Applications of computing > Pattern recognition
LSN:	1-66843-942-5
Barcode:	9781668439425

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